From Barrier to Breakthrough Unlocking Project Success with AI

This infographic explains why many AI initiatives fail: teams adopt AI or LLM tools before defining the core business problem. It outlines a simple success path—start with one issue, clarify the questions to answer, define the required analytics, then identify the data inputs and where base elements live. It also shows AI-driven gains versus traditional approaches, including continuous risk monitoring that cuts incidents by 32%, dynamic schedules that boost on-time delivery by 27%, anomaly detection that saves 25% on overruns, and forecasting improvements of 35%.